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Scaling AI/ML Success: Key Components of a Future-Proof Platform

Dataiku

Not long ago, just having a data science team allowed executives to say they were "doing AI," but that has changed. In the past few years, companies across industries have used machine learning (ML) and AI technologies to streamline processes and improve experiences leading to increased revenues at lower costs.

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How to Future-Proof Your Technology With No-Code/Low-Code Solutions

CIO

When it comes to technology, among the biggest concerns companies face is the rigidity and inflexibility of legacy platforms. These platforms make it difficult for business and IT leaders facing ever-evolving business needs to seamlessly implement a change. The change ends up being a major drain on the enterprise’s finite resources.

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Why CIOs back API governance to avoid tech sprawl

CIO

Carter Busse, CIO of no-code enabled automation platform company Workato, adds that APIs are now important connective tissue to integrate and interact with large language models (LLMs) within business processes. Digital transformation and growing reliance on third-party services are key contributors as well, she adds.

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Getting Your IoT Projects Off The Ground By Building On Azure

Xebia

With the popularity of the Internet of Things, new proof of concepts and prototypes are starting everywhere. But even in the latter case, a new IoT platform will still fail if the wrong choices were made in the technology selection, right at the project’s inception. There needs to be a robust messaging system in place.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Financial IT leaders prep for a quantum-fueled future

CIO

The premise is that even if a few individual components underperform, the rest buoy the net result, delivering a fairly predictable return over a fixed amount of time. The premise is that even if a few individual components underperform, the rest buoy the net result, delivering a fairly predictable return over a fixed amount of time.

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Taipei-based computer vision startup eYs3D gets $7M Series A

TechCrunch

Marubun Corporation, a Japan-based company that distributes semiconductors and other electronic components, will open new distribution channels for eYs3D. In a press statement, ARM IoT Capital chairman Peter Hsieh said, “As we look to the future, enhanced computer vision support plays a key role in ARM’s AI architecture and deployment.

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